Classification and regression based on a forest of trees
using random inputs.
| Reverse depends: |
AUCRF, bartMachine, BigTSP, conformal, D2C, interpretR, MAVTgsa, missForest, mlDNA, ModelMap, partitionMap, quantregForest, RFgroove, rfPermute, rfUtilities, roughrf, spikeslab, sprint, trimTrees, varSelRF |
| Reverse imports: |
abcrf, aCRM, aLFQ, bagRboostR, Biocomb, biomod2, CALIBERrfimpute, cem, CONDOP, ecospat, EnsembleBase, FSelector, fuzzyforest, gamclass, hybridEnsemble, imputeMissings, kernelFactory, LINselect, mlearning, NAM, nodeHarvest, nproc, optBiomarker, OTE, preprocomb, preproviz, pRF, randomForest.ddR, rasclass, RFmarkerDetector, rminer, RTextTools, SPOT, SSDM, synthpop, TLBC, vita, VSURF |
| Reverse suggests: |
A3, BatchExperiments, BiodiversityR, boostr, Boruta, caret, caretEnsemble, ChemometricsWithR, COBRA, DAAG, DAAGxtras, Daim, discSurv, dismo, doMPI, dyn, e1071, emil, foreach, forestFloor, fscaret, GSIF, HSAUR, HSAUR2, HSAUR3, ICEbox, lulcc, mboost, mice, mlr, ModelGood, pander, pedometrics, pmml, purge, rattle, RStoolbox, subsemble, SuperLearner, TDMR, tmle.npvi, TunePareto, unbalanced, VHDClassification, visreg, wsrf, yaImpute |